unmarked: Models for Data from Unmarked Animals

Fits hierarchical models of animal abundance and occurrence to data collected using survey methods such as point counts, site occupancy sampling, distance sampling, removal sampling, and double observer sampling. Parameters governing the state and observation processes can be modeled as functions of covariates.

Version: 0.11-0
Depends: R (≥ 2.12.0), methods, reshape, lattice, Rcpp (≥ 0.8.0)
Imports: graphics, stats, utils, plyr, raster
LinkingTo: Rcpp, RcppArmadillo
Published: 2015-09-03
Author: Ian Fiske, Richard Chandler, David Miller, Andy Royle, Marc Kery, Jeff Hostetler, Rebecca Hutchinson
Maintainer: Andy Royle <aroyle at usgs.gov>
License: GPL (≥ 3)
URL: http://groups.google.com/group/unmarked, https://sites.google.com/site/unmarkedinfo/home, http://github.com/ianfiske/unmarked, http://github.com/rbchan/unmarked
NeedsCompilation: yes
SystemRequirements: GNU make
Citation: unmarked citation info
Materials: README NEWS
In views: Environmetrics
CRAN checks: unmarked results


Reference manual: unmarked.pdf
Vignettes: Capture-recapture
Dynamic occupancy models
Distance sampling analysis
Species distributions
Overview of unmarked
Package source: unmarked_0.11-0.tar.gz
Windows binaries: r-devel: unmarked_0.11-0.zip, r-release: unmarked_0.11-0.zip, r-oldrel: unmarked_0.11-0.zip
OS X Snow Leopard binaries: r-release: unmarked_0.11-0.tgz, r-oldrel: unmarked_0.10-6.tgz
OS X Mavericks binaries: r-release: unmarked_0.11-0.tgz
Old sources: unmarked archive

Reverse dependencies:

Reverse imports: AICcmodavg
Reverse suggests: camtrapR
Reverse enhances: MuMIn